TY - JOUR
T1 - E-WOM ACROSS DIGITAL CHANNELS
T2 - A COMPARISON OF E-COMMERCE AND SOCIAL MEDIA IMPACT ON CONSUMER PURCHASE INTENTIONS
AU - Faridi, Mohammad Rishad
AU - MALIK AHMAD, AZAM
AU - Khan, Noor Alam
AU - Iqbal, Asif
AU - khan punnaiah sastry, SANIA
N1 - Publisher Copyright:
© Mohammad Rishad Faridi, Azam Malik, Noor Alam Khan, Asif Iqbal, Sania Khan, 2024.
PY - 2024
Y1 - 2024
N2 - This study analyzed by comparing the effect of e-WOM (electronic word-of-mouth) virtual shopping websites and e-WOM from respondents on social networks on users’ smartphone buying intentions. A research frame is established based on four e-WOM components: e-WOM source credibility, e-WOM source quality, e-WOM source attitude, and e-WOM source format toward the purchase intention of a smartphone. The effect of the independent variables was empirically tested using multiple regression analysis on the dependent variable of customer buying intention. The research was conducted in Uttar Pradesh, a province in India, with 362 respondents administering a questionnaire. Descriptive statistics, ANOVA (analysis of variance), and regression analysis were applied to interpret the source data. The results of regression factors had a strong statistical influence with a probability value of .000 and R2 of .358 according to the outcomes, suggesting that the framework described 35.8 proportion of the variance and that all the factors were major antecedents of buying intention. This study assists digital businesses in determining consumer buying trends through e-WOM on digital platforms. This study proposes a novel concept to understand how e-WOM affects customers’ buying intent from social networks and e-commerce portals.
AB - This study analyzed by comparing the effect of e-WOM (electronic word-of-mouth) virtual shopping websites and e-WOM from respondents on social networks on users’ smartphone buying intentions. A research frame is established based on four e-WOM components: e-WOM source credibility, e-WOM source quality, e-WOM source attitude, and e-WOM source format toward the purchase intention of a smartphone. The effect of the independent variables was empirically tested using multiple regression analysis on the dependent variable of customer buying intention. The research was conducted in Uttar Pradesh, a province in India, with 362 respondents administering a questionnaire. Descriptive statistics, ANOVA (analysis of variance), and regression analysis were applied to interpret the source data. The results of regression factors had a strong statistical influence with a probability value of .000 and R2 of .358 according to the outcomes, suggesting that the framework described 35.8 proportion of the variance and that all the factors were major antecedents of buying intention. This study assists digital businesses in determining consumer buying trends through e-WOM on digital platforms. This study proposes a novel concept to understand how e-WOM affects customers’ buying intent from social networks and e-commerce portals.
KW - e-WOM
KW - e-WOM source attitude
KW - e-WOM source credibility
KW - e-WOM source format
KW - e-WOM source quality
UR - http://www.scopus.com/inward/record.url?scp=85212537265&partnerID=8YFLogxK
U2 - 10.21511/im.20(4).2024.17
DO - 10.21511/im.20(4).2024.17
M3 - Article
AN - SCOPUS:85212537265
SN - 1814-2427
VL - 20
SP - 192
EP - 205
JO - Innovative Marketing
JF - Innovative Marketing
IS - 4
ER -